Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Correlation between ECG and Cardiac Cycle

Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...

Electrocardiogram Fundamentals

Electrocardiogram Fundamentals

Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin to...

Sinusoidal Sources

Sinusoidal Sources

Direct current (DC) refers to an electric current that flows in a single direction, maintaining a constant polarity. This is in contrast to alternating current (AC), which periodically changes its direction and magnitude. AC forms the backbone of modern electricity transmission and distribution systems due to its efficient long-distance transmission capabilities.
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...

Bode Plots Construction

Bode Plots Construction

The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):

Cardiac Action Potential

Cardiac Action Potential

Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials

Sampling Continuous Time Signal

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A new automated 3d facial soft tissue landmarking method via deep learning.

Journal of dentistry·2026

Same author

Global systematic review and probabilistic risk assessment of ochratoxin A in dried fruits.

International journal of environmental health research·2026

Same author

Occurrence of fluoride in breast milk: a worldwide systematic literature review and human health risk assessment by Monte Carlo simulation.

International journal of environmental health research·2026

Same author

Structural Equation Modeling of Food Safety Knowledge, Attitude, and Practice among Vendors and Customers in an Informal Fruit and Vegetable Market: Evidence from Iran.

Journal of food protection·2026

Same author

New Cardiovascular Model Integrating Coronary Circulation in Obstructive and Non-Obstructive Hypertrophic Cardiomyopathy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

The fate of pollutants in the co-composting of natural mineral biochar and animal manures in an intermittent aeration and mixing bioreactor (IAMB).

Scientific reports·2025

Search research articles

Related Experiment Video

Updated: May 25, 2026

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

Published on: December 2, 2011

A dynamical model for generating synthetic Phonocardiogram signals.

Ali Almasi¹, Mohammad B Shamsollahi, Lotfi Senhadji

¹Biomedical Signal and Image Processing Laboratory, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran. a_almasi@ee.sharif.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

This study introduces a dynamical model to generate realistic synthetic Phonocardiogram (PCG) signals. The model captures beat-to-beat variations in PCG morphology, aiding in the assessment of biomedical signal processing techniques.

More Related Videos

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Related Experiment Videos

Last Updated: May 25, 2026

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

Published on: December 2, 2011

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Area of Science:

Biomedical Engineering
Cardiovascular Physiology
Signal Processing

Background:

Phonocardiogram (PCG) signals are crucial for heart sound analysis.
Generating realistic synthetic PCG signals is challenging due to beat-to-beat variations.
Existing models may not fully capture the complex morphology of PCG signals.

Purpose of the Study:

To introduce a novel dynamical model for generating realistic synthetic Phonocardiogram (PCG) signals.
To represent various morphologies of normal PCG signals.
To enable the assessment of biomedical signal processing techniques.

Main Methods:

Development of a dynamical model based on PCG morphology.
The model comprises three ordinary differential equations.
Model parameters are designed to vary from beat to beat to capture physiological variability.

Main Results:

The proposed model successfully generates realistic synthetic PCG signals.
The model effectively represents diverse normal PCG morphologies.
Beat-to-beat parameter variation accurately reflects physiological changes.

Conclusions:

The developed dynamical model provides a valuable tool for PCG signal synthesis.
This model can be utilized to test and validate signal processing algorithms for PCG analysis.
The approach offers a promising avenue for advancing cardiovascular diagnostics through computational modeling.